Collaborative Research: High Resolution Records of Holocene Climate Change, Drought Variability and Monsoon Behavior from the Uinta Mountains of Utah

合作研究：犹他州尤因塔山脉全新世气候变化、干旱变化和季风行为的高分辨率记录

• 批准号: 0437433
• 负责人: David Porinchu
• 金额: --
• 依托单位: Ohio State University Research Foundation -DO NOT USE
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-06-01 至 2008-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0437433&HistoricalAwards=false
• 关键词: Collaborative; Research; Resolution; Records; Holocene

This award funds the development of records of multi-centennial drought events over the past 10,000 years from fossil biotic and geochemical indicators of hydrological conditions and environmental temperatures preserved in Uinta Mountain (UM), Utah lake sediments. These records could increase the science community's understanding of climate-forcing mechanisms causing droughts in the UM by examining links with North Atlantic sea surface temperature variations during the early to mid-Holocene due to northward displacement of the monsoon. The researchers have already collected surface sediments and environmental data from several lakes spanning 1,000 meters of elevation across the current northern limits of significant summer monsoonal precipitation. Diatom and chironomid-inference models for temperature, specific conductivity, and depth will be developed from these and other sites. Isotopic analysis of lake sediment cellulose will provide information on the source of precipitation. The research aims to develop paleoclimate data and time series from a region susceptible to drought that is becoming densely populated. This information will be of value to a broad spectrum of paleoclimate researchers and water resource planners as they struggle to understand natural climate variability and its environmental impact in Utah and other parts of the Upper Colorado River Basin.

该奖项资助了对过去1万年中百年干旱事件的记录的开发，这些记录来自犹他州犹他湖沉积物中保存的水文条件和环境温度的生物化石和地球化学指标。这些记录可以通过研究全新世早期到中期由于季风向北移动而导致的北大西洋海面温度变化的联系，增加科学界对导致UM干旱的气候强迫机制的理解。研究人员已经收集了几个湖泊的地表沉积物和环境数据，这些湖泊跨越了目前夏季季风降水显著的北部边界，海拔1000米。硅藻和chironomid的温度、比电导率和深度推理模型将从这些和其他网站发展。湖泊沉积物纤维素的同位素分析将提供降水来源的信息。这项研究的目的是开发一个易受干旱影响的地区的古气候数据和时间序列，而这个地区的人口正在变得密集。这些信息将对古气候研究人员和水资源规划者具有广泛的价值，因为他们正在努力了解犹他州和上科罗拉多河流域其他地区的自然气候变化及其对环境的影响。